We use the COCO benchmark in two ways to further isolate different object definitions.
For instance, COCO-thing has one class for vehicles whereas PVOC distinguishes between boats, busses and cars.
Also, things have a fundamentally different object definition as stuff.
First, we extract stuff annotations i.e. object w/o a clear boundary, often in the background.
For that, we use the COCO-Stuff annotations [1]}.
We further merge the 91 fine labels to 15 coarse labels, as in [2]}.
We also assign the coarse label “other” to non-stuff object as the label does not carry any semantic meaning.
The resulting labels are:
